ArticleMicrobial cell factories2023
Prediction of BMI traits in the Chinese population based on the gut metagenome.
Article in Microbial cell factories, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Multitask knowledge-primed neural network for predicting missing metadata and host phenotype based on human microbiome.Bioinformatics advances · 2025Article
- Machine learning integrates region-specific microbial signatures to distinguish geographically adjacent populations within a province.Frontiers in microbiology · 2025Article
- Research progress on the mechanistic impact of single-nucleotide polymorphisms and dietary pattern interactions on overweight and obesity in Chinese adults: a narrative review.Frontiers in nutrition · 2025Review
- Machine learning prediction of obesity-associated gut microbiota: identifyingFrontiers in microbiology · 2024Article
- Influence of gender, age, and body mass index on the gut microbiota of individuals from South China.Frontiers in cellular and infection microbiology · 2024Article
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Authors and funding
9 authors.
Funding
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Abstract
backgroundIdentifying individual characteristics based on trace evidence left at a crime scene is crucial in forensic identification. Microbial communities found in fecal traces have high individual specificity and could serve as potential markers for forensic characterization. Previous research has established that predicting body type based on the relative abundance of the gut microbiome is relatively accurate. However, the long-term stability and high individual specificity of the gut microbiome are closely linked to changes at the genome level of the microbiome. No studies have been conducted to deduce body shape from genetic traits. Therefore, in this study, the vital role of gut bacterial community characteristics and genetic traits in predicting body mass index (BMI) was investigated using gut metagenomic data from a healthy Chinese population.
resultsRegarding the gut microbial community, the underweight group displayed increased α-diversity in comparison to the other BMI groups. There were significant differences in the relative abundances of 19 species among these three BMI groups. The BMI prediction model, based on the 31 most significant species, showed a goodness of fit (R
conclusionBased on metagenomic data from a healthy Chinese population, we demonstrated the potential of genetic traits of gut bacteria to predict an individual's BMI. The findings of this study suggest the effectiveness of a novel method for determining the body type of suspects in forensic applications using the genetic traits of the gut microbiome and holds great promise for forensic individual identification.
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